Determinant Calculation 相关的热门 GitHub AI项目仓库

PyTorch实现的FID计算，包含正确的图像大小调整和量化步骤（CVPR 2022论文方法）

GPT-4具备数值计算能力

YiShape-Math is a Java math library that provides NumPy-like functionalities including vector & matrix operations, data visualization, statistics, optimization, time series, signal processing, audio analysis, image processing and machine learning models.

Graph Neural Network application in predicting AC Power Flow calculation. Developed with Pytorch Geometric framework. My Master Thesis at Eindhoven University of Technology

优化 PyTorch-DDP (分布式数据并行) 多 GPU 训练中的对比学习方法

基于单目图像数据预测身高（PyTorch实现）

我们使用自己的VDE模型，目的是基于深度学习预测车辆间的距离。

常用数值优化方法和机器学习算法的代码

? Movie Recommender System using Collaborative Filtering ? Suggests movies based on user ratings and similarity with others ? Step-by-step ML pipeline: preprocessing → similarity calculation → recommendations ? Tools: Python, Pandas, Scikit-learn, Jupyter Notebook

Distance Computaion for Vector Databases

优达学城自动驾驶纳米学位课程作业：基于激光雷达点云的YOLO三维目标检测，以及后续的传感器融合和基于扩展卡尔曼滤波器的摄像头跟踪

AI-powered agent leveraging RAG (Retrieval-Augmented Generation) with tool integration capabilities. Built with langchain, OpenAI, FastAPI, React frontend, it combines document-based knowledge with real-time data access and calculation tools to provide context-aware responses.

reflection-removal: A model for removing reflections using a single image. The goal is to significantly reduce the amount of calculation required for GAN and remove reflections in real time. The quality of the reflection removal is not important for this project. Built with DINOv3.

MCP server that connects Claude Desktop for Windows to the Windows Calculator application, enabling Claude to perform accurate mathematical calculations using Windows' native calculation engine. Automatically starts with Claude Desktop and provides seamless integration for precise arithmetic operations.

A parser for excel-formula written in pure Go

Loxpression is a high-performance, lightweight expression calculation engine for the Java platform, designed to improve the scalability of user systems in different business scenarios.

A Python project for converting RGB images to grayscale and binary formats. Uses luminance calculation for grayscale conversion and thresholding for binary conversion. Includes functions to save the processed images. Built with NumPy and PIL (Python Imaging Library).

This is a repository with codebase and results of the publication: "Characterization of Bias During Meteorological Drought Calculation in Time Series Out-of-Sample Validation"

Machine learning feasibility study for anesthesia induction parameter prediction using multi-stage CatBoost models. Integrates pharmacogenomics, patient demographics, and clinical data with SHAP explainability for personalized anesthesia type selection, dosage calculation, and response prediction.